DEVELOPMENT... OpenML
Run
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Run 120639

Task 50 (Supervised Classification) heart-h Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LMT(2)_I40
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8213
Per class
Build CPU time
16.2305
Build memory
1254961459.1565
F measure
0.8004
Per class
Kappa
0.5632
KB relative information score
154.1085
Mean absolute error
0.0789
Mean prior absolute error
0.1867
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8001
Per class
Predictive accuracy
0.8027
Prior entropy
1.0314
Recall
0.8027
Per class
Relative absolute error
0.4225
Root mean prior squared error
0.3037
Root mean squared error
0.2797
Root relative squared error
0.9208
SciMark benchmark
907.4175

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